@inproceedings{08ab3bdf224b4b4bafaec352fd5de7b0,
title = "DNLM-IIFFT: An implementation of the deceived non local means filter using integral images and the fast fourier transform for a reduced computational cost",
abstract = "In this paper we propose an efficient implementation of the Deceived Non Local Means filter, using Integral Images and the Fast Fourier Transform, named DNLM-IFFT. The deceived non local means filter is part of the Deceived Weighted Averaging Filter Framework (DeWAFF), which defines an approach for image abstraction with a combination of unsharp masking for contrast and edges enhancement and weighted averaging filtering for noise reduction. The proposed optimization approach achieved a speedup factor up to 10.",
author = "\{Calder{\'o}n Ram{\'i}rez\}, Sa{\'u}l and \{Zumbado Corrales\}, Manuel",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017 ; Conference date: 07-11-2017 Through 10-11-2017",
year = "2018",
doi = "10.1007/978-3-319-75193-1\_16",
language = "Ingl{\'e}s",
isbn = "9783319751924",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "127--134",
editor = "Sergio Velastin and Marcelo Mendoza",
booktitle = "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 22nd Iberoamerican Congress, CIARP 2017, Proceedings",
}